September 08 to 10 2014, Santa Clara, USA.


Speaker "Ashit Talukder" Details

Name :
ashit talukder
Title :
Topic :

Advancing Big Data Science Through Public-Private Initiatives

Abstract :

This presentation will cover the latest research and development activities and future trends in Big Data, and its impact across various fields. Adoption of Big Data technologies can be accelerated by creation of reference datasets and challenge problems to drive improvements in Big Data R&D and tools. Advances in Big Data science can be fostered by formulating new measurement methods and benchmarks, and metrics and models to measure performance of Big Data solutions, and creation of reference architectures and guidelines for interoperability. The talk will present details of a new Data Science Initiative at NIST to improve reliability, robustness, accuracy, generalizability, usability & performance of solutions for data-driven discovery and decisions through measurements, evaluations, and reference data. The initiative will bring together a broad multi-sector community of interest including researchers, end-users, other federal agencies, and solution providers focused on advancing data science and Big Data technologies across all components of analytics, visualization, interaction, and data lifecycle management.

Profile :
Dr. Ashit Talukder is a program director at NIST and manages the Information Access Division in the Information Technology Laboratory at the National Institute of Standards and Technology (NIST). At NIST he leads and directs research efforts in the areas of Big Data, Data science, information access, data management, and information search and retrieval for multimedia, biometrics, Big Data, visualization, image processing, computer vision, video analytics, speech processing, speech recognition, machine translation, human-computer interaction, human-factors and usability, and multimodal data for science, defense and other applications. The programs that he leads involves collaborations within NIST, and with many federal agencies including DARPA, IARPA, NSA, FBI, DoD, DoJ, DHS and others. He initiates and leads new research efforts in the above areas, and facilitates collaborations and partnerships between research labs, academia and industry.He received his Ph.D. in computer science from Carnegie Mellon University and a MS from Iowa State University. He was previously at the Jet Propulsion Laboratory, California Institute of Technology, a federally funded research and development center at NASA. He has served as a research faculty member at the University of Southern California (USC). His research background and expertise covers machine learning, search and retrieval, human language technologies, NLP, pattern recognition, image / signal processing, multimedia processing, video understanding, computer vision, data mining and analytics of massive datasets, Big Data, distributed control, biometrics, robotics, sensor networks and cyber-physical systems. He has led several projects and programs funded by DARPA, NSF, NIH, DHS, and other agencies. He has more than 65 journal and conference publications, and has served as a reviewer on numerous conferences and journals. He was a recipient of the Premium Award for Academic Excellence (1992), and several NASA Space Act Awards. He is an inventor of 2 patents. He is a member of the ACM and the IEEE Computer Society.

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